Paper Citation Record · LEDGER

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning

As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2502.00494.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.00494 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:53:31.326355Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:25:39.887529Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T03:50:55.080080Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy38
unresolved7
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7cec991-9872-480d-a320-6cf09d3df061 · outbound

This paper cites UCI Machine Learning Repo sitory, 2019.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning UCI Machine Learning Repo sitory, 2019

Reference 1

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Observation efe129fc-88da-41e6-b461-e21f16ab33e0 · outbound

This paper cites A marke tplace for data: An algorithmic solution.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning A marke tplace for data: An algorithmic solution

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:33.183432Z

Source-reported events for the cited work

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Observation dbacffa2-c65d-457e-9c91-5284d12a7f26 · outbound

This paper cites Truthful dat a acquisition via peer prediction.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Truthful dat a acquisition via peer prediction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:33.022674Z

Source-reported events for the cited work

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Observation 3e630ff3-5a8a-438d-b592-e1184a9e08bc · outbound

This paper cites Feature sele ction based on the shapley value.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Feature sele ction based on the shapley value

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.926781Z

Source-reported events for the cited work

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Observation dbd3c51c-3f52-4e2c-a4f0-d9a990b8bf5f · outbound

This paper cites Detection of inﬂuential observation in li near regression.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Detection of inﬂuential observation in li near regression

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.802323Z

Source-reported events for the cited work

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Observation 675811cf-3f91-4bab-ad20-c0b2d70d5e9d · outbound

This paper cites Bayesian ince ntive compatible beliefs.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Bayesian ince ntive compatible beliefs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.731305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45906ef7-34ab-44c3-bbc1-f84d92d8c4da · outbound

This paper cites Calibrating noise to sen- sitivity in private data analysis.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Calibrating noise to sen- sitivity in private data analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.716088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b7d35a9-e288-45c3-b6f0-7c08eb4dc536 · outbound

This paper cites Privacy-enhanced d atabase synthesis for bench- mark publishing.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Privacy-enhanced d atabase synthesis for bench- mark publishing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.700684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1fac497-d953-40f6-8122-33ffdfd8519a · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Data shapley: Equitable valuation of data for machine learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.684914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6cf0b79-0e2e-4795-b568-bf2d16096df5 · outbound

This paper cites Efﬁcient task-speci ﬁc data valuation for nearest neighbor algorithms.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Efﬁcient task-speci ﬁc data valuation for nearest neighbor algorithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.669150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f562ca1-25d6-4e24-abc1-a3a87efb1524 · outbound

This paper cites Towards efﬁci ent data valuation based on the shapley value.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Towards efﬁci ent data valuation based on the shapley value

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.651034Z

Source-reported events for the cited work

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Observation 674c82b4-59c4-49ee-b520-219353e882de · outbound

This paper cites LA V A: Data valuation without pre-speciﬁed learn ing algorithms.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning LA V A: Data valuation without pre-speciﬁed learn ing algorithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.531840Z

Source-reported events for the cited work

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Observation e0b32fdd-0865-411b-abb7-5639ea351927 · outbound

This paper cites Understanding black-box p redictions via inﬂuence functions.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Understanding black-box p redictions via inﬂuence functions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.450357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12f5d416-b7e3-4e32-bc5f-e727ffb8f487 · outbound

This paper cites Learning mult iple layers of features from tiny images.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Learning mult iple layers of features from tiny images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.411965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 332aa263-1daf-4b5f-89de-7fed6aa8bf3b · outbound

This paper cites Beta shapley: a uniﬁed and n oise-reduced data valuation framework for machine learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Beta shapley: a uniﬁed and n oise-reduced data valuation framework for machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.396150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17f5102c-5110-4f20-b8a5-246494953ee4 · outbound

This paper cites Efﬁcient c omputation and analysis of dis- tributional shapley values.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Efﬁcient c omputation and analysis of dis- tributional shapley values

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.380576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5348aea0-1034-4a62-a312-77383a92ff94 · outbound

This paper cites Gradient-based learning applied to document recognition.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Gradient-based learning applied to document recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.365784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b165ebc1-371a-4523-9283-15194ea3764a · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning FedMD: Heterogenous Federated Learning via Model Distillation

Reference 18

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Source-reported events for the cited work

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Observation 9a0ce1bb-f0f9-4cf2-a98e-e601bafc295c · outbound

This paper cites Measuring the effect of training data on deep learning predi ctions via randomized experiments.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Measuring the effect of training data on deep learning predi ctions via randomized experiments

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.350731Z

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Observation ec539d7c-af5f-4de9-a747-5ede779077e7 · outbound

This paper cites Dis- tributionally robust data valuation.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Dis- tributionally robust data valuation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.335806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6af0be2-4f36-4b5a-b14f-5cf221789a3a · outbound

This paper cites On shapley v alue in data assemblage under independent utility.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning On shapley v alue in data assemblage under independent utility

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.320907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d486cb5-110c-4635-8fe5-8f2dc946b986 · outbound

This paper cites Fast shapley value com- putation in data assemblage tasks as cooperative simple gam es.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Fast shapley value com- putation in data assemblage tasks as cooperative simple gam es

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.305829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d70e3677-c50b-49dc-92a8-651bbf4dd1e7 · outbound

This paper cites Communication-efﬁcient learning of deep networks fro m decentralized data.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Communication-efﬁcient learning of deep networks fro m decentralized data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.291268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70a22554-8fc4-4654-b8ca-72309ed4b173 · outbound

This paper cites Cortez, and P.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Cortez, and P

Reference 24

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Source-reported events for the cited work

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Observation c91beb03-177a-4f59-bb83-d94e08431567 · outbound

This paper cites Game of gra dients: Mitigating irrelevant clients in federated learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Game of gra dients: Mitigating irrelevant clients in federated learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.275415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4690fd93-3a66-4bc0-aefd-15f298c3855f · outbound

This paper cites Trade-off between pay- off and model rewards in shapley-fair collaborative machin e learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Trade-off between pay- off and model rewards in shapley-fair collaborative machin e learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.256951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c98381bd-b934-4ca4-ab27-bef43c783075 · outbound

This paper cites Data valuatio n without training of a model.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Data valuatio n without training of a model

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:32.139395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93f0c43d-aa96-45ce-9a80-88b86e27bdfd · outbound

This paper cites Collaborative Machine Learning Markets with Data-Replication-Robust Payments.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Collaborative Machine Learning Markets with Data-Replication-Robust Payments

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T18:53:30.850734Z

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Observation 159273ba-e5ce-499b-af2c-c78ad6d8c9a2 · outbound

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Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7fc7df6-3f23-46bf-bd66-81d2bc149a6b · outbound

This paper cites Estimating training data inﬂuence by tracing gradient descent.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Estimating training data inﬂuence by tracing gradient descent

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.960637Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a4b08ce-7eea-447b-b9ba-dc7aba51828e · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 31

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Source-reported events for the cited work

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Observation 2507c457-dbaf-4103-9ecc-1229f90bf14f · outbound

This paper cites Cs-shap ley: class-wise shapley values for data valuation in classiﬁcation.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Cs-shap ley: class-wise shapley values for data valuation in classiﬁcation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.946003Z

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Observation df489f86-ba2c-462f-a61e-34c364b8f416 · outbound

This paper cites A value for n-person games.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning A value for n-person games

Reference 33

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Source-reported events for the cited work

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Observation 89b47298-d768-4eec-a2c3-ece4bbe25cf1 · outbound

This paper cites Proﬁt alloc ation for federated learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Proﬁt alloc ation for federated learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.919611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c245abd-3670-4dea-bca7-6cf426f37249 · outbound

This paper cites Splitfed: When federated learning meets split learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Splitfed: When federated learning meets split learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.904639Z

Source-reported events for the cited work

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Observation 6c92c403-2f0b-455c-a4e5-ac12a67f948e · outbound

This paper cites Derdava: Deletion- robust data valuation for machine learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Derdava: Deletion- robust data valuation for machine learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.889678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12613093-d7b0-42ee-8983-d76726eea382 · outbound

This paper cites Data banzhaf: A robust data valuation framework for machine learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Data banzhaf: A robust data valuation framework for machine learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.873745Z

Source-reported events for the cited work

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Observation 66cb9887-93f7-4e0e-ab94-1da97cec6149 · outbound

This paper cites A privacy- friendly approach to data valuation.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning A privacy- friendly approach to data valuation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.856592Z

Source-reported events for the cited work

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Observation c9d43253-146f-459c-a7d4-4bcfb2821219 · outbound

This paper cites Helpful or harmful data? ﬁne-tuning-free shapley attribut ion for explaining language model predictions.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Helpful or harmful data? ﬁne-tuning-free shapley attribut ion for explaining language model predictions

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.840084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cad72b2-bc1a-4739-a78b-f30a63417971 · outbound

This paper cites Davinz: Data valuation using deep neural networks at initialization.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Davinz: Data valuation using deep neural networks at initialization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.824417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8e33b11-d928-4e55-bcc0-4e2c945715c8 · outbound

This paper cites Equitable data valuation meets the right to be forgotten in model marke ts.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Equitable data valuation meets the right to be forgotten in model marke ts

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.808275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd06be7d-7c68-4935-af3b-0b26657b5d84 · outbound

This paper cites P-shapley: Shapley values on probabilistic classiﬁers.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning P-shapley: Shapley values on probabilistic classiﬁers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.790714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b22e438a-d5ce-47e0-9553-3bb6859639d2 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T18:53:31.306460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b39d82-6ba1-4486-8e98-16519245d857 · outbound

This paper cites V alidation free and replication robust volume-based data valuation.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning V alidation free and replication robust volume-based data valuation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.677278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79113083-1b45-494a-94a0-d2df229dff30 · outbound

This paper cites Model shapley: eq- uitable model valuation with black-box access.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Model shapley: eq- uitable model valuation with black-box access

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.565846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 348149c8-8a5d-43a3-8440-c053a512a3ea · outbound

This paper cites Fl-market: Trading private models in federated learning.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Fl-market: Trading private models in federated learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:53:31.477717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 247146b8-a06e-43ba-a5d6-0e56f3797c5b · outbound

This paper cites job" and the attribute.

Data Overvaluation Attack and Truthful Data Valuation in Federated Learning job" and the attribute

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T18:53:31.460376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation ce654e50-a9eb-4c7f-ba8a-51bcd768888d · inbound

Quotient Semivalues for False-Name-Resistant Data Attribution cites this paper.

Quotient Semivalues for False-Name-Resistant Data Attribution Data Overvaluation Attack and Truthful Data Valuation in Federated Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:55.083484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e77f73cb-17f4-4c93-bb8b-eb9d4c5097d3 · inbound

Quotient Semivalues for False-Name-Resistant Data Attribution cites this paper.

Quotient Semivalues for False-Name-Resistant Data Attribution Data Overvaluation Attack and Truthful Data Valuation in Federated Learning

Reference 5759

Resolution: unresolved; no resolver link, observed 2026-08-03T02:25:39.887529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.